Intuit was granted a patent for hierarchical recommendation modeling.

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  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:20:58+00:00",
  "company": {
    "name": "Intuit",
    "domain": "intuit.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06N 7/01",
        "label": "Computing arrangements based on specific computational models"
      },
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        "label": "Electric digital data processing"
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        "label": "Computing arrangements based on specific computational models"
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    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Enterprise Software"
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    "detail": "In September 2026 Intuit patented AI recommendation technology for organizing enterprise knowledge and delivering more relevant results across business software.",
    "summary": "Intuit was granted a patent for hierarchical recommendation modeling.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Wendi Cui",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/wendi-cui"
      },
      {
        "name": "Jiaxin Zhang",
        "status": "unresolved",
        "is_primary": false
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      {
        "name": "Damien J. Lopez",
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      {
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      {
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      {
        "name": "Amit Agarwal",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/amit-agarwal-bb001666"
      }
    ],
    "tech_area": "artificial intelligence / machine learning",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12748992",
    "cpc_primary": {
      "code": "G06N 7/01",
      "label": "Computing arrangements based on specific computational models"
    },
    "patent_title": "Hierarchical hidden Markov model-based recommendation system and method with combined taxonomy and intent state representation",
    "patent_number": "US12748992",
    "uspto_assignee": "Intuit Inc.",
    "patent_abstract": "Certain aspects of the disclosure provide methods, systems, and apparatuses for providing taxonomy-boosted hierarchical hidden Markov modeling to enhance recommendation inferences and machine learning model training. A hierarchical structure of enterprise knowledge is constructed to provide searching knowledge in a desired granularity. A hidden state space may be defined for a hierarchical hidden Markov model, where each hidden state in the hidden state space is associated with a node in the hierarchical structure and an intent category obtained from observing the actions, events, and behavior of the user. Training a classification model may be provided to predict a probability of each hidden state in the hidden state space based on a user input. Training the hierarchical hidden Markov model may be provided based on a training data set labeled for each hidden state in a hidden state space.",
    "precision_class": "structural",
    "invention_explanation": "A recommendation system that combines a knowledge hierarchy with hidden user-intent states to predict which information or options best match a search.",
    "technologies_mentioned": [
      "machine learning",
      "recommendation systems",
      "knowledge taxonomies",
      "hidden Markov models"
    ]
  }
}

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